Mobile AI Tool Expands Access to Prenatal Ultrasonography
The model matched trained sonographers with a mean absolute error of 4.2 days, researchers said, after testing in Chicago and Nairobi.
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4 Articles
AI-powered ultrasound system aims to bridge gap in maternity care deserts
Researchers at the UNC School of Medicine have developed an AI-powered ultrasound system designed to bring basic sonograms closer to home, providing expectant mothers in maternity care deserts with access to essential pregnancy care.
Mobile AI Tool Expands Access to Prenatal Ultrasonography
A portable AI tool can estimate the age of an unborn baby from scans as well as trained sonographers, potentially extending access to vital prenatal ultrasonography where it might not otherwise be available. The findings, in JAMA Network Open, reveal the potential of artificial intelligence to expand access to diagnostic tasks such as ultrasonography using novice operators in low-resource settings. An AI model trained on blind sweep ultrasonogra…
SRNL, Silica-X Partner to Advance AI-Powered Scientific Data Management
Savannah River National Laboratory is expanding its seven-year relationship with artificial intelligence software company Silica-X to develop AI-based scientific data management technologies The cooperative research and development agreement is expected to benefit the Department of Energy’s Genesis Mission for applied AI The project will be carried out at the SRNL Advanced Manufacturing Collaborative In South […] The post SRNL, Silica-X Partner …
Aarthi Scans & Labs, Origin Medical partner to advance AI in prenatal ultrasound
Aarthi Scans & Labs and Origin Medical Research Lab India Private Limited, the research and development arm of Origin Medical, have announced their ongoing collaboration to advance the quality and accessibility of prenatal ultrasound care through artificial intelligence (AI). According to the companies, the two organisations have worked together over the past five years to develop and validate AI solutions that support maternal-fetal imaging in …
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